Generate list to update main plot in plotlyProxy

This function generates a list to update the main axe in existing plotly graph with plotlyProxy.

Usage

lg_profile_update_main(data, y, y_label, y_label_category)

Arguments

data

A data frame containing the data to be plotted.

y

The name of the y-axis variable to plot.

y_label

The label for the y-axis.

y_label_category

The category label for the y-axis.

Value

A list containing trace and layout lists to plot with plotlyProxy.

Details

This function generates a main profile update plot with the specified data and axis labels.

Examples

if (FALSE) {
data <- data.frame(
measure = 1:10,
selected_metric = rnorm(10, mean = 1)
)
output$scatter_plot <- renderPlotly({
  plot_ly(data, x = ~measure, y = ~selected_metric, type = 'scatter', mode = 'line')
})
data_updated <- data.frame(
  measure = 1:10,
  selected_metric = rnorm(10, mean = 1)
)
selected_metric_name <-  "my metric"
select_metric_category <-  "my metric category"
update_main_axe <-
  lg_profile_update_main(
    data = data_updated,
    y = data_updated[[selected_metric]],
    y_label = selected_metric_name,
    y_label_category = r_val$select_metric_category
  )
plotlyProxy("scatter_plot") %>%
  plotlyProxyInvoke("deleteTraces", 0) %>%
  plotlyProxyInvoke("addTraces", update_main_axe$trace, 0) %>%
  plotlyProxyInvoke("relayout", update_main_axe$layout)
}